research-ops
Evidence-first current-state research workflow for ecc. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.
npx skills add mturac/everything-openai-codex --skill research-ops --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Research Ops Use this when the user asks to research something current, compare options, enrich people or companies, or turn repeated lookups into a monitored workflow. This is the operator wrapper around the repo's research stack. It is not a replacement for `deep-research`, `exa-search`, or `market-research`; it tells you when and how to use them together. ## Skill Stack Pull these ecc-native skills into the workflow when relevant: - `exa-search` for fast current-web discovery - `deep-research` for multi-source synthesis with citations - `market-research` when the end result should be a recommendation or ranked decision - `lead-intelligence` when the task is people/company targeting instead of generic research - `knowledge-ops` when the result should be stored in durable context afterward ## When to Use - user says "research", "look up", "compare", "who should I talk to", or "what's the latest" - the answer depends on current public information - the user already supplied evidence and wants it factored into a fresh recommendation - the task may be recurring enough that it should become a monitor instead of a one-off lookup ## Guardrails - do not answer current questions from st
- Skill Stack
- When to Use
- Guardrails
- Workflow
- 1. Start from what the user already gave you
- 2. Classify the ask
- 3. Take the lightest useful evidence path first
- 4. Report with explicit evidence boundaries
- 5. Decide whether the task should stay manual
- Output Format
- Pitfalls
- Verification
What does the research-ops skill do?
Evidence-first current-state research workflow for ecc. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill research-ops --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.